Evidence map›Paper›PMID 27279945›Full record

ArticleThe Pan African medical journal2016

Condom use and associated factors among men who have sex with men in Togo, West Africa.

Tchaa Abalo Bakai, Didier Koumavi Ekouevi, Boris Kévin Tchounga, Eric Balestre, Kossivi Agbélénko Afanvi, Kariyiare Benjamin Goilibe, Yao Kassankogno, Vincent Palokinam Pitche

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Tchaa Abalo BakaiUniversité de Lomé, Département de Santé Publique, Faculté des Sciences de la Santé, Lomé, Togo; Centre Africain de Recherche en Epidémiologie et Sante Publique (CARESP), Lomé, Togo; Université de Bordeaux, ISPED, Centre INSERM U897- Epidémiologie-Biostatistique, Bordeaux, France.
Didier Koumavi EkoueviUniversité de Lomé, Département de Santé Publique, Faculté des Sciences de la Santé, Lomé, Togo; Centre Africain de Recherche en Epidémiologie et Sante Publique (CARESP), Lomé, Togo; Université de Bordeaux, ISPED, Centre INSERM U897- Epidémiologie-Biostatistique, Bordeaux, France; Inserm U897, ISPED, Université de Bordeaux, Bordeaux France.
Boris Kévin TchoungaCentre Africain de Recherche en Epidémiologie et Sante Publique (CARESP), Lomé, Togo; Université de Bordeaux, ISPED, Centre INSERM U897- Epidémiologie-Biostatistique, Bordeaux, France; Inserm U897, ISPED, Université de Bordeaux, Bordeaux France; Programme PAC-CI, CHU de Treichville, Abidjan, Côte d'Ivoire.
Eric BalestreUniversité de Bordeaux, ISPED, Centre INSERM U897- Epidémiologie-Biostatistique, Bordeaux, France; Inserm U897, ISPED, Université de Bordeaux, Bordeaux France.
Kossivi Agbélénko AfanviUniversité de Lomé, Département de Santé Publique, Faculté des Sciences de la Santé, Lomé, Togo.
Kariyiare Benjamin GoilibeCentre Africain de Recherche en Epidémiologie et Sante Publique (CARESP), Lomé, Togo.
Yao KassankognoUniversité de Lomé, Département de Santé Publique, Faculté des Sciences de la Santé, Lomé, Togo.
Vincent Palokinam PitcheProgramme National de Lutte contre le VIH/Sida, Lomé, Togo; CHU Sylvanus Olympio, Service de Dermatologie et Infectiologie, Lomé, Togo.
University of Lomé · TGCentre Africain de Recherche en Epidémiologie et en Santé Publique · TGUniversité de Bordeaux · FRCentre Hospitalier Universitaire de Tokoin · TG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn 2011, the prevalence of HIV among men who have sex with men (MSM) in Togo was estimated at 19.6% compared to 3.4% in the general population. This study aimed to describe condom use and associated factors among MSM in Togo.

methodsIn 2011, a cross-sectional survey was conducted using the snowball sampling method among MSM in Togo. This study enrolled MSM aged 18 years and above who reported having sexual contact with other men within the last 30 days. A standardized survey form was used for data collection, and multivariate analyses were performed.

resultsA total of 724 MSM were included in this study. The median age was 25 years [22-28], 90.3% had at least a secondary school level. The sexual practices during the last sexual encounter with another man included: insertive anal sex (62.2%), receptive anal sex (56.6%), oral sex (33.8%) and oral-anal sex (8.6%). A condom was used during the last insertive and receptive anal encounters in 78.4% and 81.2% of the time, respectively. In multivariate analysis, condom use was positively associated with previous participation in HIV/STD prevention activities (aOR=1.72; 95% CI=[1.09-2.71]), with the consideration of the last sexual partner as a casual one (aOR=1.87; 95% CI=[1.24-2.82]) and with having at least a secondary school level (aOR=2.40; 95% CI=[1.22-4.69]).

conclusionOne out of five MSM did not use a condom during the last anal encounter with another man. HIV prevention programs in Africa should develop specific interventions targeting MSM to reduce the incidence of HIV in this hidden population.

Indexed as

Homosexuality, MaleAdolescentAdultCondomsCross-Sectional StudiesHIV InfectionsHumansMaleMultivariate AnalysisSexual BehaviorSurveys and QuestionnairesTogoYoung Adultcondom useHIV prevalenceMSMTogo

Identifiers

PMID27279945
PMCPMC4885700
OpenAlexW2303018570

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.